Water quality monitoring system for environmental protection monitoring

Abstract

The invention relates to the technical field of water quality monitoring, in particular to a water quality monitoring system for environmental protection monitoring. The method comprises the following steps: firstly, acquiring a solid pollution index value of to-be-discharged industrial wastewater by acquiring and analyzing a conventional image and a polarization image of a wastewater sample, and acquiring a chemical pollution index value of the to-be-discharged industrial wastewater by acquiring and analyzing chemical parameters, heavy metal elements, organic pollutants and volatile gas data of the wastewater sample. And fusing the solid pollution index value and the chemical pollution index value to obtain a to-be-discharged index value of the to-be-discharged industrial wastewater. Finally, whether the to-be-discharged industrial wastewater is qualified or not is judged according to the to-be-discharged index value, and the precision of industrial wastewater water quality monitoring is improved. In addition, by arranging a buffer monitoring bin and an emergency storage bin, water quality monitoring can be carried out before industrial wastewater is discharged, a scientific discharge decision basis is provided, discharge of unqualified industrial wastewater is reduced, and environmental protection management is optimized.

Description

Technical Field

[0001] The invention relates to the technical field of water quality monitoring, and in particular to a water quality monitoring system for environmental protection monitoring. Background Art

[0002] Water quality monitoring collects water samples regularly or continuously, measures and analyzes physical, chemical, biological and radioactive parameters in the water to assess water quality and pollution levels and ensure the health and safety of water bodies. This process is widely used in environmental protection, drinking water safety, industrial production and agricultural irrigation, aiming to prevent the negative impact of water pollution on the ecological environment and human health.

[0003] Among them, water quality monitoring of industrial wastewater is particularly important, and its purpose is to ensure that wastewater meets environmental standards before being discharged after treatment to avoid pollution of water bodies. Toxic substances, heavy metals and excessive nutrients in industrial wastewater may damage aquatic ecosystems, pollute drinking water sources, and affect human health through the food chain, leading to loss of ecological functions and economic losses. Therefore, scientific water quality monitoring and effective wastewater treatment measures are essential for environmental protection and public health.

[0004] Existing technologies conduct comprehensive water quality monitoring of discharged wastewater from multiple perspectives. For example, multiple sensors are installed at the discharge port to collect parameters such as turbidity, conductivity, and suspended solids concentration of wastewater in real time, or samples are sent to laboratories for analysis of chemical substances and heavy metal content to achieve effective monitoring of industrial wastewater. In addition, biological parameters in the discharge area are tested to assess the impact of wastewater on ecosystems and aquatic organisms, thereby determining whether it is toxic or polluting.

[0005] Although existing technologies have achieved certain results in industrial wastewater quality monitoring, there are still some shortcomings. Current monitoring is mainly focused on the detection of wastewater after discharge. Although this method can evaluate the water quality of discharged wastewater, it does not consider the impact of the discharge of unqualified industrial wastewater on the environment. In other words, the failure to monitor wastewater before discharge leads to the discharge of unqualified wastewater.

[0006] Therefore, a water quality monitoring system for environmental protection monitoring is proposed. Summary of the invention

[0007] The purpose of the present invention is to provide a water quality monitoring system for environmental protection monitoring. By monitoring the water quality of industrial wastewater to be discharged from wastewater treatment equipment before discharge, the discharge of unqualified wastewater can be reduced and environmental pollution caused by substandard treatment due to equipment failure or aging of the factory wastewater treatment system can be avoided.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] A water quality monitoring system for environmental protection monitoring, comprising a mixed sampling unit, a water quality monitoring unit, an early warning trigger unit and an emergency processing unit;

[0010] Furthermore, the mixed sampling unit buffers the industrial wastewater to be discharged through a buffer monitoring chamber;

[0011] The buffer monitoring bin includes a first bin body, a first pipe, a second pipe and a third pipe; the first bin body is a horizontally placed cylindrical cavity, and the interior is provided with evenly distributed cross reinforcement ribs for the structural strength of the buffer monitoring bin; the cross reinforcement ribs are fixed to the interior of the first bin body by welding.

[0012] The industrial wastewater to be discharged enters the buffer monitoring chamber through the first pipe. The first pipe is arranged on the upper side wall of the first chamber body and is connected to the outlet pipe of the wastewater treatment equipment through a flange.

[0013] The automatic sampling device collects wastewater samples through a sampling point located inside the first bin body, forms a mixed water sample after mixing, and transports the mixed water sample to a water quality monitoring unit through a pipeline for water quality testing.

[0014] If the water quality test result is unqualified, the unqualified industrial wastewater to be discharged is discharged to the emergency storage bin through the third pipeline. The third pipeline is located on the lower side wall of the first bin body and is connected to the emergency storage bin through a flange.

[0015] If the water quality test is qualified, the industrial wastewater to be discharged enters the wastewater discharge system through the second pipe for discharge. The second pipe is arranged at the bottom of the first warehouse body and connected to the wastewater discharge system through a flange.

[0016] Furthermore, the solid matter monitoring module is used to obtain solid pollution index values;

[0017] For the mixed water sample, a high-resolution industrial camera is used to collect a conventional image and a polarized image of the mixed water sample; the conventional image is collected using an ordinary light source, and the polarized image is collected through a specific polarized light source and a polarizing filter.

[0018] Performing image preprocessing on the conventional image, using Gaussian filtering to remove noise in the image, and then using adaptive contrast enhancement (CLAHE) technology to enhance the contrast between solid particles and background water in the image to obtain a standard conventional image;

[0019] A global threshold segmentation algorithm is used for the standard conventional image to segment the solid matter in the mixed water sample from the background water body; an edge detection algorithm is applied to identify the edges of solid particles in the image, extract the number of solid particles, and calculate the area of ​​the solid particles in the image.

[0020] The solid matter concentration in the mixed water sample is obtained by calculating the ratio of the total area of ​​solid particles to the area of ​​the standard conventional image; the calculation formula of the solid matter concentration is:

[0021]

[0022] Among them, D solid represents the solid matter concentration, N partical represents the number of solid particles in the standard conventional image, A partical,i represents the area of ​​the i-th solid particle, represents the total area of ​​the standard conventional image;

[0023] Performing image preprocessing on the polarization image, using Gaussian filtering to remove noise in the polarization image, and then using a polarization filter to extract a region with a strong polarization reaction in the image, thereby improving the brightness and contrast of the oil film in the polarization image, and obtaining a standard polarization image;

[0024] The standard polarization image is segmented by utilizing the special color of the oil film under polarized light, and pixels with color characteristics are separated from other pixels to extract the oil film area;

[0025] The specific texture features of the oil film are identified by using a local binary pattern (LBP) method to distinguish the oil film from other reflective materials; the edge detection algorithm is applied to detect the edge contour of the oil film to obtain the number of oil film blocks, and the ratio of the coverage area of ​​the oil film block to the area of ​​the standard polarization image is calculated to obtain the oil film ratio of the mixed water sample;

[0026] The calculation formula for the oil film ratio of the mixed water sample is:

[0027]

[0028] Among them, D oil represents the oil film ratio of the mixed water sample, M partical represents the number of the oil film blocks in the standard polarization image, A partical,j represents the area of ​​the jth oil film block, represents the total area of ​​the standard polarization image.

[0029] The solid matter concentration is combined with the oil film ratio to obtain a solid pollution index value;

[0030] D fused =ω solid ×D solid +ω oil ×D oil ;

[0031] Among them, ω solid and ω oil Respectively represent the constraint weights of the solid matter concentration and the oil film ratio, satisfying ω solid +ω oil =1.

[0032] Furthermore, the process of obtaining the chemical pollution index value includes:

[0033] The chemical parameter data, volatile gas data, heavy metal element data and organic pollutant data of the mixed water sample are collected by using corresponding sensors, and then the data are cleaned and normalized to obtain standardized data.

[0034] The standardized data is constructed into a multi-dimensional feature matrix and input into the first fully connected layer to extract preliminary features, wherein the ReLU activation function is applied; the extraction process of the preliminary features is:

[0035] Z1=ReLU(X·W1+b1);

[0036] Among them, Z1 represents the preliminary features, X represents the multidimensional feature matrix, W1 and b1 represent the weight matrix and bias term of the first fully connected layer respectively.

[0037] The preliminary features are input into the second fully connected layer to further extract complex features, wherein a nonlinear activation function is applied; the extraction process of the complex features is:

[0038] Z2=Activation(Z1·W2+b2);

[0039] Among them, Z2 represents the complex feature, W2 and b2 represent the weight matrix and bias term of the second fully connected layer respectively.

[0040] The complex features are input into the self-attention mechanism layer to calculate the relevant weights of the chemical parameter features, heavy metal element features, organic pollutant features and volatile gas features respectively;

[0041] The complex features are fused with the relevant weights to obtain a comprehensive feature vector, and the chemical pollution index value is output through the output layer. The process of obtaining the comprehensive feature vector is:

[0042]

[0043] Where Z represents the comprehensive feature vector, H i represents the i-th eigenvector of the multidimensional feature matrix, unit2 represents the dimension of the complex feature, e i and e jThe calculation formula for the chemical pollution index value output by the output layer is:

[0044] C chem =Z·W out +b out ;

[0045] Among them, C chem represents the chemical pollution index value, Z represents the comprehensive feature vector, W out represents the weight matrix of the output layer, b out Represents the bias term of the output layer.

[0046] Furthermore, the calculation formula of the emission index value is:

[0047]

[0048] Among them, E discharge represents the dischargeable index value, γ and λ represent the weight coefficients of the solid pollution index value and the chemical pollution index value respectively, and R represents the proportional coefficient.

[0049] Furthermore, the early warning triggering unit includes:

[0050] Receive the index value to be discharged output by the water quality monitoring unit; determine whether the current industrial wastewater to be discharged meets the standard according to the threshold setting; determine the treatment method of the industrial wastewater to be discharged according to the branch structure;

[0051] The thresholds are set to:

[0052]

[0053] Wherein, t represents the defined qualified threshold value of the emission index value, and the value range of the emission index value and the threshold value are both (0,1); the qualified threshold value of the emission index is set according to the pollutant emission standards of different industries.

[0054] The branch structure is:

[0055] If E dischage >t, qualified, then the industrial wastewater to be discharged is directly discharged to the discharge system;

[0056] If E dischage ≤t,unqualified, the discharge of the industrial wastewater to be discharged will be stopped and an alarm will be issued.

[0057] Furthermore, the emergency treatment unit receives and stores the unqualified industrial wastewater to be discharged through an emergency storage bin;

[0058] The emergency storage bin includes a second bin body, a water inlet, a water outlet, and a vent. The second bin body is a horizontally placed cylindrical cavity with annular reinforcement ribs and cross reinforcement ribs inside to increase structural stability. The annular reinforcement ribs and the cross reinforcement ribs are welded to the inner wall of the second bin body in an equidistant manner.

[0059] Unqualified discharged industrial wastewater is input into the emergency storage bin through the water inlet via the third pipe. The third pipe is connected to the water inlet via a flange. In order to balance the internal and external air pressure, a vent is provided on the top of the second bin body, and the vent is equipped with an activated carbon filter device to prevent polluted gas from being released into the external environment.

[0060] A liquid level monitoring module is installed on the inner side wall of the second warehouse body, which continuously collects the liquid level data in the second warehouse body and transmits it to the liquid level reminder module; the liquid level monitoring module is fixed to the inner wall of the second warehouse body by bolts; the liquid level monitoring module is connected to the liquid level reminder module via a signal cable, and the liquid level reminder module is set on the monitoring panel of the factory equipment.

[0061] When the liquid level in the second bin reaches the low liquid level standard and the medium liquid level standard, the liquid level reminder module sends a reminder to the staff; when the liquid level in the second bin reaches the high liquid level standard, an alarm is triggered.

[0062] If the wastewater treatment equipment has been corrected, the industrial water to be discharged is input into the wastewater treatment equipment through the water outlet for further treatment.

[0063] Compared with the prior art, the present invention has the following beneficial effects:

[0064] 1. The present invention collects conventional images and polarized images of mixed water samples, and uses a variety of image processing techniques and algorithms after pre-processing to extract the solid matter concentration and oil film ratio in the mixed water samples, and comprehensively obtains the solid pollution index value. This method can effectively extract and quantify the solid matter and oil film pollutants in the industrial wastewater to be discharged, thereby achieving accurate solid pollution index evaluation. The joint processing of conventional images and polarized images improves the monitoring accuracy of solid pollutants and oil films in industrial wastewater to be discharged, provides data support for comprehensive water quality monitoring, and thus provides a basis for scientific emission decisions.

[0065] 2. The present invention first collects chemical parameter data, volatile gas data, heavy metal element data and organic pollutant data of mixed water samples, and constructs them into a multidimensional feature matrix after standardization. Then, preliminary features and complex features are extracted respectively through two fully connected layers, and then the complex features are input into the self-attention mechanism layer to calculate the relevant weights of various features and volatile gas features, and a comprehensive feature vector is generated after fusion. Finally, the chemical pollution index value is calculated based on the comprehensive feature vector through the output layer. This method can effectively integrate the multidimensional pollutant data in mixed water samples, use the fully connected layer and self-attention mechanism in deep learning to accurately extract and correlate various feature extractions, and generate reliable calculated chemical pollution index values. It improves the recognition and evaluation accuracy of chemical pollutants, can more accurately reflect the chemical pollution status in industrial wastewater to be discharged, and provides a scientific basis for environmental protection decision-making.

[0066] 3. The present invention provides scientific water quality testing and decision support before wastewater discharge by setting up a buffer monitoring bin and an emergency storage bin. First, a water sample of the industrial wastewater to be discharged is obtained through the sampling device in the buffer monitoring bin, and the conventional image, polarization image, chemical parameters, heavy metal elements, organic pollutants and volatile gas data in the wastewater are collected and analyzed respectively. After a variety of processing and calculation methods, the discharge index value of the industrial wastewater to be discharged is obtained, and the early warning trigger unit determines whether the wastewater is qualified and triggers the corresponding treatment measures. If the wastewater is unqualified, it is stored and processed in the emergency storage bin of the emergency treatment unit to ensure the scientific nature of the wastewater treatment and the effectiveness of environmental protection, and reduce the discharge of unqualified wastewater. By setting a liquid level monitoring device in the emergency treatment unit, the safety and emergency response capability of wastewater treatment are improved, and environmental protection management is optimized. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 A schematic diagram of a water quality monitoring system for environmental protection monitoring provided by an embodiment of the present invention;

[0068] Figure 2 A schematic diagram of the structure of a water quality monitoring system for environmental protection monitoring provided by an embodiment of the present invention;

[0069] Figure 3 A structural diagram of a water quality monitoring unit provided in an embodiment of the present invention;

[0070] Figure 4 A schematic diagram of a top view and a cross-sectional structure of a buffer monitoring bin provided in an embodiment of the present invention;

[0071] Figure 5 Schematic diagram of the top view and cross-sectional structure of the emergency storage bin provided in an embodiment of the present invention.

[0072] In the figure: 1. first bin body; 2. first pipeline; 3. sampling point; 4. cross reinforcement rib; 5. second pipeline; 6. third pipeline; 7. second bin body; 8. water inlet; 9. annular reinforcement rib; 10. vent; 11. activated carbon filter device; 12. liquid level monitoring module; 13. liquid level reminder module; 14. water outlet. DETAILED DESCRIPTION

[0073] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0074] The present invention provides a water quality monitoring system for environmental protection monitoring. The specific system process and structure refer to Figure 1 and Figure 2 .

[0075] Embodiment 1

[0076] As an embodiment of the present invention, refer to Figure 1 S10 in the embodiment is applied to a mixed sampling unit of a water quality monitoring system for environmental protection monitoring. In this embodiment, a mixed water sample of industrial wastewater to be discharged after being treated by wastewater treatment equipment in a food processing plant A is collected.

[0077] Furthermore, the mixed sampling unit buffers the industrial wastewater to be discharged through a buffer monitoring chamber;

[0078] Reference Figure 4 , Figure 4 A schematic diagram of the top view and cross-sectional structure of the buffer monitoring bin provided in this embodiment;

[0079] The buffer monitoring chamber is arranged between the wastewater treatment equipment and the discharge system to receive the industrial wastewater to be discharged;

[0080] Furthermore, the mixed sampling unit buffers the industrial wastewater to be discharged through a buffer monitoring chamber;

[0081] The buffer monitoring bin includes a first bin body 1, a first pipe 2, a second pipe 5 and a third pipe 6; the first bin body 1 is a horizontally placed cylindrical cavity, and is provided with evenly distributed cross reinforcement ribs 4 inside to enhance the structural strength of the buffer monitoring bin; the cross reinforcement ribs 4 are fixed to the inner wall of the first bin body 1 by welding.

[0082] The industrial wastewater to be discharged enters the buffer monitoring bin through the first pipe 2. The first pipe 2 is arranged on the upper side wall of the first bin body 1 and is connected to the outlet pipe of the wastewater treatment equipment through a flange.

[0083] The automatic sampling device collects wastewater samples through the sampling point 3 located inside the first bin body 1, forms a mixed water sample after mixing, and transports the mixed water sample to the water quality monitoring unit through a pipeline for water quality testing.

[0084] If the water quality test result is unqualified, the unqualified industrial wastewater to be discharged is discharged to the emergency storage bin through the third pipe 6. The third pipe 6 is located on the lower side wall of the first bin body 1 and is connected to the emergency storage bin through a flange.

[0085] If the water quality test is qualified, the industrial wastewater to be discharged enters the wastewater discharge system through the second pipe 5 for discharge. The second pipe 5 is arranged at the bottom of the first warehouse 1 and connected to the wastewater discharge system through a flange.

[0086] This embodiment effectively reduces the risk of direct discharge of unqualified wastewater by setting up a buffer monitoring chamber to perform real-time water quality monitoring before the discharge of industrial wastewater. The buffer monitoring chamber is set between the wastewater treatment system and the discharge system, and by delaying the discharge of industrial wastewater to be discharged, it provides sufficient time for the water quality monitoring system to conduct a comprehensive analysis. This method not only improves the timeliness of water quality monitoring, but also provides time for early warning and processing of abnormal situations, further optimizes environmental protection management, and helps prevent potential harm to the environment caused by pollutants.

[0087] Reference Figure 1 S20, S30 and S40, S20, S30 and S40 are applied to a water quality monitoring unit of a water quality monitoring system for environmental protection monitoring;

[0088] Reference Figure 3 , the water quality monitoring unit includes a plurality of submodules. In this step, solid pollution index values, chemical pollution index values ​​and dischargeable index values ​​are obtained according to the mixed water sample.

[0089] Furthermore, the step of obtaining the solid pollution index value includes: for the mixed water sample, using a high-resolution industrial camera to collect a conventional image and a polarized image of the mixed water sample; the conventional image is collected using an ordinary light source, and the polarized image is collected through a specific polarized light source and a polarizing filter.

[0090] Performing image preprocessing on the conventional image, using Gaussian filtering to remove noise in the image, and then using adaptive contrast enhancement (CLAHE) technology to enhance the contrast between solid particles and background water in the image to obtain a standard conventional image;

[0091] A global threshold segmentation algorithm is used for the standard conventional image to segment the solid matter in the mixed water sample from the background water body; an edge detection algorithm is applied to identify the edges of solid particles in the image, extract the number of solid particles, and calculate the area of ​​the solid particles in the image.

[0092] The solid matter concentration in the mixed water sample is obtained by calculating the ratio of the total area of ​​solid particles to the area of ​​the standard conventional image; the calculation formula of the solid matter concentration is:

[0093]

[0094] Among them, D solid represents the solid matter concentration, N partical represents the number of solid particles in the standard conventional image, A partical,i represents the area of ​​the i-th solid particle, represents the total area of ​​the standard conventional image;

[0095] Performing image preprocessing on the polarization image, using Gaussian filtering to remove noise in the polarization image, and then using a polarization filter to extract a region with a strong polarization reaction in the image, thereby improving the brightness and contrast of the oil film in the polarization image, and obtaining a standard polarization image;

[0096] The standard polarization image is segmented by utilizing the special color of the oil film under polarized light, and pixels with color characteristics are separated from other pixels to extract the oil film area;

[0097] The specific texture features of the oil film are identified by using a local binary pattern (LBP) method to distinguish the oil film from other reflective materials; the edge detection algorithm is applied to detect the edge contour of the oil film to obtain the number of oil film blocks, and the ratio of the coverage area of ​​the oil film block to the area of ​​the standard polarization image is calculated to obtain the oil film ratio of the mixed water sample;

[0098] The calculation formula for the oil film ratio of the mixed water sample is:

[0099]

[0100] Among them, D oil represents the oil film ratio of the mixed water sample, M partical represents the number of the oil film blocks in the standard polarization image, A partical,j represents the area of ​​the jth oil film block, represents the total area of ​​the standard polarization image.

[0101] The solid matter concentration is combined with the oil film ratio to obtain a solid pollution index value;

[0102] D fused =ω solid ×D solid +ω oil ×D oil ;

[0103] Among them, ω solid and ω oil Respectively represent the constraint weights of the solid matter concentration and the oil film ratio, satisfying ω solid +ω oil =1.

[0104] In order to verify the effect of the solid pollutant identification method proposed in this embodiment, two of the most commonly used sewage solid pollutant detection methods were selected and the following comparative experiments were set up;

[0105] Method 1: The image analysis method provided in this embodiment; a high-resolution industrial camera is used to collect conventional images and polarization images of mixed water samples, and the concentration of solid pollutants in the mixed water samples is detected and quantified through image processing and analysis technology.

[0106] Method 2: Gravity sedimentation method; let the mixed water sample stand, wait for the solid particles to settle, and measure the weight of the sediment to obtain the concentration of solid pollutants in the mixed water sample.

[0107] Method 3: Filtration and weighing method; the solid pollutants in the mixed water sample are separated by a filtration device, and the residue on the filter paper is weighed to calculate the concentration of solid pollutants in the mixed water sample.

[0108] Three experiments were conducted on the above three methods, and the experimental results are summarized in Table 1.

[0109] Table 1 Comparative experimental results

[0110]

[0111] It can be seen from the experimental results in Table 1 that the image analysis method provided in this embodiment has a better solid pollutant detection effect than the commonly used gravity sedimentation method and filtration weighing method. Through high-resolution industrial cameras and advanced image processing algorithms, solid pollutants can be accurately identified and quantified, and the detection results are more stable.

[0112] In addition, the image analysis method can not only detect solid particles, but also detect oil film on the water surface through polarization images, providing a more comprehensive pollutant detection function. The image analysis method also has a faster detection speed and can achieve real-time monitoring of industrial wastewater to be discharged.

[0113] This embodiment first collects conventional images and polarized images of mixed water samples, then extracts and quantifies the number and area of ​​solid particles to obtain the solid particle concentration; polarization features of polarized images are enhanced, the oil film area is segmented and its coverage area is calculated to obtain the oil film ratio. Finally, the solid particle concentration is merged with the oil film ratio to obtain an accurate solid pollution index value. This method uses the advantages of conventional images and polarized images to improve the monitoring accuracy of solid particles and oil film pollutants in mixed water samples, and provides reliable technical support for industrial wastewater quality monitoring.

[0114] This embodiment identifies and quantifies solid pollutants and oil film pollutants in mixed water samples by combining conventional images and polarized images. Conventional images are collected through ordinary light sources and can clearly show the morphology and distribution of solid particles; while polarized images use the characteristics of polarized light to enhance the visibility of oil films on the water surface. Through the joint analysis of conventional images and polarized images, the solid pollution in mixed water samples can be more comprehensively evaluated, providing multi-dimensional data support for pollution monitoring.

[0115] Furthermore, the step of obtaining the chemical pollution index value includes: using corresponding sensors to collect chemical parameter data, volatile gas data, heavy metal element data and organic pollutant data of the mixed water sample; Table 2 is an example of chemical parameter and heavy metal element data collected from the mixed water sample.

[0116] Table 2 Chemical parameters and heavy metal element data

[0117] Chemical parameters Numeric Heavy Metal Elements Numeric pH 7.2 Lead (Pb) 0.02mg / L Conductivity 1.5mS / cm Mercury (Hg) 0.001mg / L Dissolved oxygen (DO) 6.8mg / L Cadmium (Cd) 0.005mg / L Chemical oxygen demand (COD) 210mg / L Chromium (Cr6+) 0.03mg / L Total Nitrogen (TN) 45mg / L Arsenic (As) 0.002mg / L

[0118] Table 3 is an example of organic pollutant and volatile gas data collected from the mixed water sample.

[0119] Table 3 Data of organic pollutants and volatile gases

[0120] Organic pollutants Numeric Volatile Gas Numeric Polycyclic Aromatic Hydrocarbons (PAHs) 0.15μ / L (VOCs) 0.35ppm Polychlorinated biphenyls (PCBs) 0.05μ / L <![CDATA[Hydrogen sulfide (H2S)]]> 0.04ppm Benzo(a)pyrene 0.02μ / L <![CDATA[Ammonia (NH3)]]> 0.12ppm Dioxins 0.001μ / L <![CDATA[Sulfur dioxide (SO2)]]> 0.10ppm formaldehyde 0.03mg / L Carbon monoxide (CO) 0.25ppm

[0121] The data is cleaned and normalized to obtain standardized data. The standardized data is constructed into a multidimensional feature matrix and input into the first fully connected layer to extract preliminary features, wherein the ReLU activation function is applied; the extraction process of the preliminary features is as follows:

[0122] Z1=ReLU(X·W1+b1);

[0123] Among them, Z1 represents the preliminary features, X represents the multidimensional feature matrix, W1 and b1 represent the weight matrix and bias term of the first fully connected layer respectively.

[0124] The preliminary features are input into the second fully connected layer to further extract complex features, wherein a nonlinear activation function is applied; the extraction process of the complex features is:

[0125] Z2=Activation(Z1·W2+b2);

[0126] Among them, Z2 represents the complex feature, W2 and b2 represent the weight matrix and bias term of the second fully connected layer respectively.

[0127] The complex features are input into the self-attention mechanism layer to calculate the relevant weights of the chemical parameter features, heavy metal element features, organic pollutant features and volatile gas features respectively;

[0128] The complex features are fused with the relevant weights to obtain a comprehensive feature vector, and the chemical pollution index value is output through the output layer. The process of obtaining the comprehensive feature vector is:

[0129]

[0130] Where Z represents the comprehensive feature vector, H i represents the i-th eigenvector of the multidimensional feature matrix, unit2 represents the dimension of the complex feature, e i and e j The calculation formula for the chemical pollution index value output by the output layer is:

[0131] C chem =Z·W out +b out ;

[0132] Among them, C chem represents the chemical pollution index value, Z represents the comprehensive feature vector, W out represents the weight matrix of the output layer, b out Represents the bias term of the output layer.

[0133] This embodiment first collects and preprocesses the multidimensional data of mixed water samples, standardizes them and inputs them into the deep neural network. Preliminary features and complex features are extracted through the fully connected layer, and the relevant weights of different pollutant features are calculated using the self-attention mechanism to generate a comprehensive feature vector. Finally, the accurate chemical pollution index value is calculated through the output layer. This method uses the hierarchical feature extraction of deep learning and the weighted analysis of the self-attention mechanism to comprehensively and accurately evaluate the concentration of chemical pollutants in water samples and improve the accuracy and efficiency of water quality monitoring.

[0134] This embodiment obtains chemical pollution index values ​​through a deep learning model, which can effectively integrate and analyze a variety of complex pollutant data in mixed water samples, including chemical parameters, volatile gases, heavy metal elements and organic pollutants. Deep learning uses its powerful feature extraction capabilities to identify and capture nonlinear relationships and potential dependencies between various pollutants, thereby more accurately assessing the overall chemical pollution level and providing a reliable basis for scientific decision-making.

[0135] Furthermore, the calculation formula of the emission index value is:

[0136]

[0137] Among them, E discharge represents the dischargeable index value, γ and λ represent the weight coefficients of the solid pollution index value and the chemical pollution index value respectively, and R represents the proportional coefficient.

[0138] This embodiment provides a comprehensive method for evaluating whether industrial wastewater treated by wastewater treatment equipment meets the discharge standards by calculating the index value to be discharged of the mixed water sample. The index value to be discharged obtained by integrating the solid pollution index value and the chemical pollution index value can fully reflect the overall pollution situation of the industrial wastewater to be discharged, ensuring the safety and compliance of the wastewater before discharge. This comprehensive indicator makes up for the limitations of single indicator evaluation and makes the discharge decision more scientific and accurate.

[0139] Reference Figure 1 S50 in the embodiment is applied to an early warning trigger unit of a water quality monitoring system for environmental protection monitoring.

[0140] Furthermore, the early warning triggering unit includes:

[0141] Receive the index value to be discharged output by the water quality monitoring unit; determine whether the current industrial wastewater to be discharged meets the standard according to the threshold setting; determine the treatment method of the industrial wastewater to be discharged according to the branch structure; the threshold setting is:

[0142]

[0143] Wherein, t represents the defined qualified threshold value of the emission index value, and the value range of the emission index value and the threshold value are both (0,1); the branch structure is:

[0144] If E dischage >t, qualified, then the industrial wastewater to be discharged is directly discharged to the discharge system;

[0145] If E dischage≤t,unqualified, the discharge of the industrial wastewater to be discharged will be stopped and an alarm will be issued.

[0146] This embodiment realizes accurate real-time monitoring and automatic judgment before wastewater discharge by setting an early warning trigger unit. The early warning trigger unit receives the index value to be discharged output by the water quality monitoring unit, and judges whether the current industrial wastewater to be discharged meets the standard according to the preset threshold. Specifically, if the index value to be discharged is lower than the qualified threshold, the wastewater is directly discharged into the discharge system; if the index value to be discharged is higher than or equal to the qualified threshold, the discharge is stopped and an alarm is issued to indicate that further processing is required. This method reduces the error and lag of manual judgment. The application of branch structure enables the system to automatically select the appropriate treatment method, ensuring the scientificity and consistency of discharge decisions.

[0147] Reference Figure 2 The emergency treatment unit receives and stores unqualified industrial wastewater to be discharged through an emergency storage bin.

[0148] Reference Figure 5 , Figure 5 A schematic diagram of a top view and a cross-sectional structure of an emergency storage bin provided in an embodiment;

[0149] The emergency storage bin includes a second bin body 7, a water inlet 8, a water outlet 14, and a vent 10. The second bin body 7 is a horizontally placed cylindrical cavity, and has an annular reinforcement rib 9 and a cross reinforcement rib 4 inside to increase structural stability. The annular reinforcement rib 9 and the cross reinforcement rib 4 are welded to the inner wall of the second bin body 7 in an equidistant manner.

[0150] The unqualified industrial wastewater to be discharged is input into the emergency storage bin through the third pipe 6 and the water inlet 8. The third pipe 6 is connected to the water inlet 8 through a flange. In order to balance the internal and external air pressure, a vent 10 is provided on the top of the second bin body 7, and the vent 10 is equipped with an activated carbon filter 11 to prevent polluted gas from being released into the external environment.

[0151] A liquid level monitoring module 12 is installed on the inner side wall of the second warehouse body 7 to continuously collect liquid level data in the second warehouse body 7 and transmit it to the liquid level reminder module 13; the liquid level monitoring module 12 is fixed to the inner wall of the second warehouse body 7 by bolts; the liquid level monitoring module 12 is connected to the liquid level reminder module 13 via a signal cable, and the liquid level reminder module 13 is set on the monitoring panel of the factory equipment.

[0152] When the liquid level in the second bin body 7 reaches the low liquid level standard and the medium liquid level standard, the liquid level reminder module 13 sends a reminder to the staff; when the liquid level in the second bin body 7 reaches the high liquid level standard, an alarm is triggered.

[0153] If the wastewater treatment equipment has been repaired, the industrial water to be discharged is input into the wastewater treatment equipment through the water outlet 14 for further treatment.

[0154] This embodiment provides a discharge safety buffer zone for the industrial wastewater treatment system by setting up an emergency storage bin, which can promptly receive and store unqualified wastewater when the treated wastewater does not meet the discharge standards, preventing it from being directly discharged into the environment and causing pollution. The emergency storage bin buys time for further treatment or discharge of wastewater, reducing the risk of environmental pollution caused by equipment failure or abnormal conditions.

[0155] This embodiment is equipped with an automated liquid level monitoring and control system in the emergency storage bin, which can quickly issue an early warning and take emergency measures when the liquid level is abnormal or the storage capacity reaches the upper limit, ensuring the continuous and stable operation of the system. This design not only improves the safety and emergency response capabilities of wastewater treatment, but also provides higher protection for the environmental management of industrial enterprises, effectively contributing to the realization of environmental protection and sustainable development goals.

[0156] This embodiment provides a water quality monitoring system for environmental protection monitoring, which comprehensively evaluates the pollution of industrial wastewater to be discharged through multi-dimensional data collection and analysis. First, a high-resolution industrial camera is used to collect conventional images and polarization images of wastewater samples, and the characteristics of solid pollutants and oil films on the water surface are extracted respectively, and the solid pollution index value is accurately calculated. At the same time, the system collects chemical parameters, heavy metal elements, organic pollutants and volatile gas data through sensors, and obtains chemical pollution index values ​​after deep learning model processing. Then, the solid pollution index value is merged with the chemical pollution index value to generate a comprehensive index value to be discharged, ensuring that the pollutant analysis before discharge is more comprehensive and accurate. In addition, the system provided in this embodiment delays the discharge of wastewater by setting a buffer monitoring warehouse, providing a window for real-time monitoring and analysis; at the same time, an emergency storage warehouse is also set up to store and further process the wastewater in time when it is unqualified. Through the early warning trigger unit and the automatic control device, it can automatically judge whether the wastewater meets the standard according to the comprehensive index value, trigger the corresponding treatment or discharge operation, and prevent unqualified wastewater from entering the environment. The system provided in this embodiment not only improves the accuracy of industrial wastewater quality monitoring, but also provides a scientific basis for emission decision-making, ensures the safety and compliance of wastewater treatment, and optimizes the process and efficiency of environmental protection management.

[0157] Embodiment 2

[0158] As an embodiment of the present invention, refer to Figure 1S10 in the embodiment is applied to a mixed sampling unit of a water quality monitoring system for environmental protection monitoring. In this embodiment, a mixed water sample of industrial wastewater to be discharged after being treated by wastewater treatment equipment in a plastic toy processing factory B is collected.

[0159] Furthermore, the mixed sampling unit buffers the industrial wastewater to be discharged through a buffer monitoring chamber;

[0160] Reference Figure 4 , Figure 4 A schematic diagram of the top view and cross-sectional structure of the buffer monitoring bin provided in this embodiment;

[0161] Furthermore, the mixed sampling unit buffers the industrial wastewater to be discharged through a buffer monitoring chamber;

[0162] The buffer monitoring bin includes a first bin body 1, a first pipe 2, a second pipe 5 and a third pipe 6; the first bin body 1 is a horizontally placed cylindrical cavity, and is provided with evenly distributed cross reinforcement ribs 4 inside to enhance the structural strength of the buffer monitoring bin; the cross reinforcement ribs 4 are fixed to the inner wall of the first bin body 1 by welding.

[0163] The industrial wastewater to be discharged enters the buffer monitoring bin through the first pipe 2. The first pipe 2 is arranged on the upper side wall of the first bin body 1 and is connected to the outlet pipe of the wastewater treatment equipment through a flange.

[0164] The automatic sampling device collects wastewater samples through the sampling point 3 located inside the first bin body 1, forms a mixed water sample after mixing, and transports the mixed water sample to the water quality monitoring unit through a pipeline for water quality testing.

[0165] If the water quality test result is unqualified, the unqualified industrial wastewater to be discharged is discharged to the emergency storage bin through the third pipe 6. The third pipe 6 is located on the lower side wall of the first bin body 1 and is connected to the emergency storage bin through a flange.

[0166] If the water quality test is qualified, the industrial wastewater to be discharged enters the wastewater discharge system through the second pipe 5 for discharge. The second pipe 5 is arranged at the bottom of the first warehouse 1 and connected to the wastewater discharge system through a flange.

[0167] Reference Figure 1 S20, S30 and S40 in the invention are used in a water quality monitoring unit of a water quality monitoring system for environmental protection monitoring, referring to Figure 3 , the water quality monitoring unit includes a plurality of submodules. In this step, solid pollution index values, chemical pollution index values ​​and dischargeable index values ​​are obtained according to the mixed water sample.

[0168] Furthermore, the step of obtaining the solid pollution index value includes: for the mixed water sample, using a high-resolution industrial camera to collect a conventional image and a polarized image of the mixed water sample; the conventional image is collected using an ordinary light source, and the polarized image is collected through a specific polarized light source and a polarizing filter.

[0169] Performing image preprocessing on the conventional image, using Gaussian filtering to remove noise in the image, and then using adaptive contrast enhancement (CLAHE) technology to enhance the contrast between solid particles and background water in the image to obtain a standard conventional image;

[0170] A global threshold segmentation algorithm is used for the standard conventional image to segment the solid matter in the mixed water sample from the background water body; an edge detection algorithm is applied to identify the edges of solid particles in the image, extract the number of solid particles, and calculate the area of ​​the solid particles in the image.

[0171] The solid matter concentration in the mixed water sample is obtained by calculating the ratio of the total area of ​​solid particles to the area of ​​the standard conventional image; the calculation formula of the solid matter concentration is:

[0172]

[0173] Among them, D solid represents the solid matter concentration, N partical represents the number of solid particles in the standard conventional image, A partical,i represents the area of ​​the i-th solid particle, represents the total area of ​​the standard conventional image;

[0174] Performing image preprocessing on the polarization image, using Gaussian filtering to remove noise in the polarization image, and then using a polarization filter to extract a region with a strong polarization reaction in the image, thereby improving the brightness and contrast of the oil film in the polarization image, and obtaining a standard polarization image;

[0175] The standard polarization image is segmented by utilizing the special color of the oil film under polarized light, and pixels with color characteristics are separated from other pixels to extract the oil film area;

[0176] The specific texture features of the oil film are identified by using a local binary pattern (LBP) method to distinguish the oil film from other reflective materials. The edge detection algorithm is applied to detect the edge contour of the oil film to obtain the number of oil film blocks, and the ratio of the coverage area of ​​the oil film block to the area of ​​the standard polarization image is calculated to obtain the oil film ratio of the mixed water sample. The calculation formula of the oil film ratio of the mixed water sample is:

[0177]

[0178] Among them, D oil represents the oil film ratio of the mixed water sample, M partical represents the number of the oil film blocks in the standard polarization image, A partical,j represents the area of ​​the jth oil film block, represents the total area of ​​the standard polarization image.

[0179] The solid matter concentration is combined with the oil film ratio to obtain a solid pollution index value;

[0180] D fused =ω solid ×D solid +ω oil ×D oil ;

[0181] Among them, ω solid and ω oil Respectively represent the constraint weights of the solid matter concentration and the oil film ratio, satisfying ω solid +ω oil =1.

[0182] Furthermore, the step of obtaining the chemical pollution index value includes: using corresponding sensors to collect chemical parameter data, volatile gas data, heavy metal element data and organic pollutant data of the mixed water sample, then cleaning the data, and then normalizing the data to obtain standardized data.

[0183] The standardized data is constructed into a multi-dimensional feature matrix and input into the first fully connected layer to extract preliminary features, wherein the ReLU activation function is applied; the extraction process of the preliminary features is:

[0184] Z1=ReLU(X·W1+b1);

[0185] Among them, Z1 represents the preliminary features, X represents the multidimensional feature matrix, W1 and b1 represent the weight matrix and bias term of the first fully connected layer respectively.

[0186] The preliminary features are input into the second fully connected layer to further extract complex features, wherein a nonlinear activation function is applied; the extraction process of the complex features is:

[0187] Z2=Activation(Z1·W2+b2);

[0188] Among them, Z2 represents the complex feature, W2 and b2 represent the weight matrix and bias term of the second fully connected layer respectively.

[0189] The complex features are input into the self-attention mechanism layer to calculate the relevant weights of the chemical parameter features, heavy metal element features, organic pollutant features and volatile gas features respectively;

[0190] The complex features are fused with the relevant weights to obtain a comprehensive feature vector, and the chemical pollution index value is output through the output layer. The process of obtaining the comprehensive feature vector is:

[0191]

[0192] Where Z represents the comprehensive feature vector, H i represents the i-th eigenvector of the multidimensional feature matrix, unit2 represents the dimension of the complex feature, e i and e j The calculation formula for the chemical pollution index value output by the output layer is:

[0193] C chem =Z·W out +b out ;

[0194] Among them, C chem represents the chemical pollution index value, Z represents the comprehensive feature vector, W out represents the weight matrix of the output layer, b out Represents the bias term of the output layer.

[0195] Furthermore, the calculation formula of the emission index value is:

[0196]

[0197] Among them, E discharge represents the dischargeable index value, γ and λ represent the weight coefficients of the solid pollution index value and the chemical pollution index value respectively, and R represents the proportional coefficient.

[0198] Reference Figure 1 S50 in the embodiment is applied to an early warning trigger unit of a water quality monitoring system for environmental protection monitoring.

[0199] Furthermore, the early warning triggering unit includes:

[0200] Receive the index value to be discharged output by the water quality monitoring unit; determine whether the current industrial wastewater to be discharged meets the standard according to the threshold setting; determine the treatment method of the industrial wastewater to be discharged according to the branch structure; the threshold setting is:

[0201]

[0202] Wherein, t represents the defined qualified threshold value of the emission index value, and the value range of the emission index value and the threshold value are both (0,1); the branch structure is:

[0203] If E dischage >t, qualified, then the industrial wastewater to be discharged is directly discharged to the discharge system;

[0204] If E dischage ≤t,unqualified, the discharge of the industrial wastewater to be discharged will be stopped and an alarm will be issued.

[0205] Reference Figure 2 The emergency treatment unit receives and stores unqualified industrial wastewater to be discharged through an emergency storage bin.

[0206] Reference Figure 5 , Figure 5 A schematic diagram of a top view and a cross-sectional structure of an emergency storage bin provided in an embodiment;

[0207] The emergency storage bin includes a second bin body 7, a water inlet 8, a water outlet 14, and a vent 10. The second bin body 7 is a horizontally placed cylindrical cavity, and has an annular reinforcement rib 9 and a cross reinforcement rib 4 inside to increase structural stability. The annular reinforcement rib 9 and the cross reinforcement rib 4 are welded to the inner wall of the second bin body 7 in an equidistant manner.

[0208] The unqualified industrial wastewater to be discharged is input into the emergency storage bin through the third pipe 6 and the water inlet 8. The third pipe 6 is connected to the water inlet 8 through a flange. In order to balance the internal and external air pressure, a vent 10 is provided on the top of the second bin body 7, and the vent 10 is equipped with an activated carbon filter 11 to prevent polluted gas from being released into the external environment.

[0209] A liquid level monitoring module 12 is installed on the inner side wall of the second warehouse body 7 to continuously collect liquid level data in the second warehouse body 7 and transmit it to the liquid level reminder module 13; the liquid level monitoring module 12 is fixed to the inner wall of the second warehouse body 7 by bolts; the liquid level monitoring module 12 is connected to the liquid level reminder module 13 via a signal cable, and the liquid level reminder module 13 is set on the monitoring panel of the factory equipment.

[0210] When the liquid level in the second bin body 7 reaches the low liquid level standard and the medium liquid level standard, the liquid level reminder module 13 sends a reminder to the staff; when the liquid level in the second bin body 7 reaches the high liquid level standard, an alarm is triggered.

[0211] If the wastewater treatment equipment has been repaired, the industrial water to be discharged is input into the wastewater treatment equipment through the water outlet 14 for further treatment.

[0212] This embodiment provides a water quality monitoring system for environmental protection monitoring, which monitors the water quality of industrial wastewater to be discharged after being treated by wastewater treatment equipment in plastic toy processing plant B. The water quality monitoring system provided in this embodiment is provided with a buffer monitoring warehouse for water quality monitoring before wastewater discharge, ensuring that the discharge is decided after the monitoring is qualified. Through multi-level data collection and intelligent analysis, a comprehensive water quality pollution assessment of industrial wastewater to be discharged is realized. First, water samples are collected from industrial wastewater to be discharged, and conventional images and polarization images of wastewater samples are collected using high-resolution industrial cameras. The characteristics of solid pollutants and oil films on the water surface are analyzed and extracted respectively, and the solid pollution index value is accurately calculated. At the same time, the system collects chemical parameters, heavy metal elements, organic pollutants and volatile gas data in wastewater through sensors, and processes these data using deep learning models to obtain chemical pollution index values. By fusing solid pollution index values ​​with chemical pollution index values, the system generates a comprehensive index value to be discharged, which provides comprehensive data support for wastewater discharge decisions. In addition, the system provided in this embodiment is also provided with an emergency storage warehouse for receiving and storing unqualified wastewater for further processing. The early warning trigger unit in the system automatically determines whether the wastewater meets the standard according to the index value to be discharged, and triggers the corresponding discharge or treatment operation to prevent unqualified wastewater from entering the environment. Through these designs, the present invention significantly improves the accuracy and safety of industrial wastewater quality monitoring, provides a scientific basis for discharge decision-making, and effectively optimizes the overall process of environmental protection management.

[0213] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A water quality monitoring system for environmental protection monitoring, characterized in that: include: Mixed sampling unit: used to obtain mixed water samples from industrial wastewater to be discharged; Water quality monitoring unit: used to obtain the dischargeable index value of the industrial wastewater to be discharged; The water quality monitoring unit includes a solid matter monitoring module, a chemical substance monitoring module and an emission index value calculation module; The solid matter monitoring module is used to monitor the solid floating matter in the industrial wastewater to be discharged, and obtains the solid pollution index value by jointly analyzing the conventional image and the polarization image of the mixed water sample; The chemical substance monitoring module is used to monitor the chemical pollutants in the industrial wastewater to be discharged, extract relevant features through a deep neural network and a self-attention mechanism, and obtain a chemical pollution index value; The dischargeable index value calculation module is used to calculate the dischargeable index value according to the solid pollution index value and the chemical pollution index value; Early warning trigger unit: used to judge whether the industrial wastewater to be discharged is qualified according to the dischargeable index value, and trigger the corresponding treatment method according to the judgment result; Emergency treatment unit: used for receiving and storing the industrial wastewater to be discharged that is judged to be unqualified.

2. The water quality monitoring system for environmental protection monitoring according to claim 1 is characterized in that: The mixed sampling unit buffers the industrial wastewater to be discharged through a buffer monitoring chamber; The buffer monitoring chamber is arranged between the wastewater treatment system and the wastewater discharge system to receive the industrial wastewater to be discharged; The buffer monitoring chamber comprises a first chamber body (1), a first pipeline (2), a second pipeline (5) and a third pipeline (6); The first bin body (1) is a horizontally placed cylindrical cavity; the inner cavity wall of the first bin body (1) is provided with cross reinforcing ribs (4); the cross reinforcing ribs (4) are arranged in an equidistant manner inside the first bin body (1); The first pipe (2) is arranged on the upper side wall of the first silo (1) and is connected to the water outlet pipe of the wastewater treatment equipment; the second pipe (5) is arranged at the bottom of the other end of the first silo (1) opposite to the first pipe (2) and is connected to the pipe of the wastewater discharge system; the third pipe (6) is arranged on the lower side wall of the first silo (1); A plurality of evenly distributed sampling points (3) are arranged in the buffer monitoring chamber; the sampling points (3) are provided with automatic sampling devices; The water sample of the industrial wastewater to be discharged is obtained by the automatic sampling device to obtain a mixed water sample.

3. The water quality monitoring system for environmental protection monitoring according to claim 1 is characterized in that: The step of obtaining the solid pollution index value comprises: Collecting a conventional image and a polarization image of the mixed water sample; Performing image preprocessing on the conventional image, including denoising and contrast enhancement, to obtain a standard conventional image; The standard conventional image is segmented by global threshold value to segment the solid matter in the mixed water sample from the background water body; the edges of the solid particles in the image are identified and the number of solid particles is extracted, the area of ​​the solid particles in the image is calculated, and the concentration of the solid matter in the mixed water sample is obtained by calculating the ratio of the total area of ​​the solid particles to the area of ​​the standard conventional image; Performing image preprocessing on the polarization image, including denoising and polarization feature enhancement, to obtain a standard polarization image; The standard polarization image is segmented using the special color of the oil film under polarized light to extract the oil film area; Identify the specific texture features of the oil film and distinguish the oil film from other reflective materials; detect the edge contour of the oil film to obtain the number of oil film blocks, and calculate the ratio of the coverage area of ​​the oil film blocks to the area of ​​the standard polarization image to obtain the oil film ratio of the mixed water sample; The solid matter concentration and the oil film ratio are combined to obtain the solid pollution index value.

4. The water quality monitoring system for environmental protection monitoring according to claim 3 is characterized in that: The step of fusing the solid matter concentration with the oil film ratio to obtain the solid pollution index value comprises: The calculation formula for combining the solid matter concentration with the oil film ratio is: D fused =ω solid ×D solid +oh oil ×D oil ; Among them, ω solid and ω oil are the constraint weights of the solid matter concentration and the oil film ratio, respectively, satisfying ω solid +ω oil =1;D solid represents the solid matter concentration, D oil Indicates the oil film ratio of the mixed water sample; The calculation formula of the solid matter concentration is: Among them, N partical represents the number of solid particles in the standard conventional image, A partical,i represents the area of ​​the i-th solid particle, represents the total area of ​​the standard conventional image; The calculation formula for the oil film ratio of the mixed water sample is: Among them, M partical represents the number of the oil film blocks in the standard polarization image, A partical,j represents the area of ​​the jth oil film block, represents the total area of ​​the standard polarization image.

5. The water quality monitoring system for environmental protection monitoring according to claim 1 is characterized in that: The process of obtaining the chemical pollution index value is as follows: Collecting chemical parameter data, volatile gas data, heavy metal element data and organic pollutant data of the mixed water sample, and performing preprocessing to obtain standardized data; the preprocessing includes data cleaning and normalization processing; The standardized data is constructed as a multi-dimensional feature matrix and input into the first fully connected layer to extract preliminary features, wherein a ReLU activation function is applied; Inputting the preliminary features into a second fully connected layer to further extract complex features, wherein a nonlinear activation function is applied; The complex features are input into the self-attention mechanism layer to calculate the relevant weights of the chemical parameter features, heavy metal element features, organic pollutant features and volatile gas features respectively; The complex features are fused with the relevant weights to obtain a comprehensive feature vector, and the chemical pollution index value is output through an output layer.

6. The water quality monitoring system for environmental protection monitoring according to claim 5 is characterized in that: The steps of fusing the complex features with the relevant weights to obtain a comprehensive feature vector and outputting the chemical pollution index value through an output layer include: The calculation formula for the chemical pollution index value output by the output layer is: C chem =Z·W out +b out ; Among them, C chem represents the chemical pollution index value, Z represents the comprehensive feature vector, W out represents the weight matrix, b out represents the bias term; the process of obtaining the comprehensive feature vector is: Wherein, Z represents the comprehensive feature vector, H i represents the i-th eigenvector of the multidimensional feature matrix, unit2 represents the dimension of the complex feature, e i and e j denote the attention scores of the i-th feature vector and the j-th feature vector respectively.

7. The water quality monitoring system for environmental protection monitoring according to claim 1 is characterized in that: The calculation formula of the emission index value is: Among them, E discharge represents the dischargeable index value, γ and λ represent the weight coefficients of the solid pollution index value and the chemical pollution index value respectively, and R represents the proportional coefficient.

8. The water quality monitoring system for environmental protection monitoring according to claim 1 is characterized in that: The early warning triggering unit comprises: Receive the index value to be discharged output by the water quality monitoring unit; determine whether the current industrial wastewater to be discharged meets the standard according to the threshold setting; determine the treatment method of the industrial wastewater to be discharged according to the branch structure; the threshold setting is: Wherein, t represents the defined qualified threshold value of the emission index value, and the value range of the emission index value and the threshold value are both (0,1); The branch structure is: If E dischage >t, qualified, then the industrial wastewater to be discharged is directly discharged to the discharge system; If E dischage ≤t,unqualified, the discharge of the industrial wastewater to be discharged will be stopped and an alarm will be issued.

9. The water quality monitoring system for environmental protection monitoring according to claim 1 is characterized in that: The emergency treatment unit receives and stores the unqualified industrial wastewater to be discharged through the emergency storage bin; The emergency storage bin comprises a second bin body (7), a water inlet (8), a water outlet (14) and a vent (10); The second bin body (7) is a horizontally placed cylindrical cavity; the inner wall of the second bin body (7) is provided with annular reinforcing ribs (9) and cross reinforcing ribs (4); the annular reinforcing ribs (9) are arranged on the inner wall of the second bin body (7) in an equidistant manner, and the cross reinforcing ribs (4) are arranged inside the second bin body (7) in an equidistant manner; The water inlet (8) is arranged on the upper side wall of the second bin body (7) and is connected to the third pipe (6); the water outlet (14) is arranged on the lower side wall of the other end of the second bin body (7) relative to the water inlet (8) and is connected to the water inlet pipe of the wastewater treatment equipment; the vent (10) is arranged on the top of the second bin body (7); the vent (10) is equipped with an activated carbon filtering device (11).

10. The water quality monitoring system for environmental protection monitoring according to claim 9, characterized in that: The emergency processing unit also includes a liquid level monitoring device; The liquid level monitoring device comprises a liquid level reminder module (13) and a liquid level monitoring module (12); The liquid level monitoring module (12) is arranged on the upper side of the inner wall of the second bin body (7), and continuously collects liquid level data in the emergency storage bin and outputs the data to the liquid level reminder module (13); the liquid level reminder module (13) receives the liquid level data and issues a reminder when the liquid level data reaches a low liquid level standard and a medium liquid level standard; and outputs an alarm message when the liquid level data reaches a high liquid level standard.

Images